Modelling Hair Follicle Growth Dynamics as an Excitable Medium. - Philip J. Murray; Philip K. Maini; Maksim V. Plikus; Cheng-Ming Chuong; Ruth E. Baker (PLoS Comput. Biol., 2012)

Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies. - Katrina K. Treloar; Matthew J. Simpson; Parvathi Haridas; Kerry J. Manton; David I. Leavesley; Donald L. S. McElwain; Ruth E. Baker (BMC Syst. Biol., 2013)

Novel Methods for Analysing Bacterial Tracks Reveal Persistence in Rhodobacter sphaeroides. - Gabriel Rosser; Alexander G. Fletcher; David A. Wilkinson; Jennifer A. de Beyer; Christian A. Yates; Judith P. Armitage; Philip K. Maini; Ruth E. Baker (PLoS Comput. Biol., 2013)

A Modified Oster-Murray-Harris Mechanical Model of Morphogenesis. - Benjamin L. Vaughan Jr.; Ruth E. Baker; David Kay; Philip K. Maini (SIAM J. Appl. Math., 2013)

Capabilities and Limitations of Tissue Size Control through Passive Mechanical Forces. - Jochen Kursawe; Pavel A. Brodskiy; Jeremiah J. Zartman; Ruth E. Baker; Alexander G. Fletcher (PLoS Comput. Biol., 2015)

Turing's Theory of Developmental Pattern Formation. - Philip K. Maini; Thomas E. Woolley; Eamonn A. Gaffney; Ruth E. Baker (The Once and Future Turing, 2016)

Turing's Theory of Morphogenesis: Where We Started, Where We Are and Where We Want to Go. - Thomas E. Woolley; Ruth E. Baker; Philip K. Maini (The Incomputable, 2017)

Turing's theory of morphogenesis. - Thomas E. Woolley; Ruth E. Baker; Philip K. Maini (The Turing Guide, 2017)

Impact of implementation choices on quantitative predictions of cell-based computational models. - Jochen Kursawe; Ruth E. Baker; Alexander G. Fletcher (J. Comput. Phys., 2017)

Numerical Analysis of the Immersed Boundary Method for Cell-Based Simulation. - Fergus R. Cooper; Ruth E. Baker; Alexander G. Fletcher (SIAM J. Sci. Comput., 2017)

Multilevel rejection sampling for approximate Bayesian computation. - David J. Warne; Ruth E. Baker; Matthew J. Simpson (Comput. Stat. Data Anal., 2018)

Robustly simulating biochemical reaction kinetics using multi-level Monte Carlo approaches. - Christopher Lester; Christian A. Yates; Ruth E. Baker (J. Comput. Phys., 2018)

The impact of temporal sampling resolution on parameter inference for biological transport models. - Jonathan U. Harrison; Ruth E. Baker (PLoS Comput. Biol., 2018)

Displacement of Transport Processes on Networked Topologies. - Daniel B. Wilson 002; Ruth E. Baker; Francis G. Woodhouse (SIAM J. Appl. Math., 2019)

Global Dynamics of a Novel Delayed Logistic Equation Arising from Cell Biology. - Ruth E. Baker; Gergely Röst (J. Nonlinear Sci., 2020)

StoSpa2: A C++ software package for stochastic simulations of spatially extended systems. - Bartosz J. Bartmanski; Ruth E. Baker (J. Open Source Softw., 2020)

Chaste: Cancer, Heart and Soft Tissue Environment. - Fergus R. Cooper; Ruth E. Baker; Miguel O. Bernabeu; Rafel Bordas; Louise Bowler; Alfonso Bueno-Orovio; Helen M. Byrne; Valentina Carapella; Louie Cardone-Noott; Jonathan Cooper; Sara Dutta; Benjamin D. Evans; et al. (J. Open Source Softw., 2020)

Pakman: a modular, efficient and portable tool for approximate Bayesian inference. - Thomas Pak; Ruth E. Baker; Joe Pitt-Francis (J. Open Source Softw., 2020)

Multifidelity Approximate Bayesian Computation. - Thomas P. Prescott; Ruth E. Baker (SIAM/ASA J. Uncertain. Quantification, 2020)

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. - John H. Lagergren; John T. Nardini; Ruth E. Baker; Matthew J. Simpson; Kevin B. Flores (PLoS Comput. Biol., 2020)

Travelling waves in a free boundary mechanobiological model of an epithelial tissue. - Ryan J. Murphy; Pascal R. Buenzli; Ruth E. Baker; Matthew J. Simpson (Appl. Math. Lett., 2021)

Effects of different discretisations of the Laplacian upon stochastic simulations of reaction-diffusion systems on both static and growing domains. - Bartosz J. Bartmanski; Ruth E. Baker (J. Comput. Appl. Math., 2021)

Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling. - Thomas P. Prescott; Ruth E. Baker (SIAM/ASA J. Uncertain. Quantification, 2021)

Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes. - David J. Warne; Thomas P. Prescott; Ruth E. Baker; Matthew J. Simpson (J. Comput. Phys., 2022)

Efficient Bayesian inference for mechanistic modelling with high-throughput data. - Simon Martina Perez; Heba Sailem; Ruth E. Baker (PLoS Comput. Biol., 2022)

Rapid Bayesian Inference for Expensive Stochastic Models. - David J. Warne; Ruth E. Baker; Matthew J. Simpson (J. Comput. Graph. Stat., 2022)

Dataset for: "Parameter identifiability and model selection for partial differential equation models of cell invasion". - Yue Liu; Kevin Suh; Philip K. Maini; Daniel J. Cohen; Ruth E. Baker (Zenodo, 2023)

Dataset for: "Parameter identifiability and model selection for partial differential equation models of cell invasion". - Yue Liu; Kevin Suh; Philip K. Maini; Daniel J. Cohen; Ruth E. Baker (Zenodo, 2023)

Travelling waves in a minimal go-or-grow model of cell invasion. - Carles Falcó; Rebecca M. Crossley; Ruth E. Baker (Appl. Math. Lett., 2024)

A Local Continuum Model of Cell-Cell Adhesion. - Carles Falcó; Ruth E. Baker; José A. Carrillo 001 (SIAM J. Appl. Math., 2024)

Dataset for: "Parameter identifiability and model selection for partial differential equation models of cell invasion". - Yue Liu; Kevin Suh; Philip K. Maini; Daniel J. Cohen; Ruth E. Baker (Zenodo, 2024)

Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation. - Thomas P. Prescott; David J. Warne; Ruth E. Baker (J. Comput. Phys., 2024)

Modelling collective invasion with reaction-diffusion equations: When does domain curvature matter? - J. J. Pollacco; Ruth E. Baker; Philip K. Maini (Appl. Math. Lett., 2025)

A Nonlocal-to-Local Approach to Aggregation-Diffusion Equations. - Carles Falcó; Ruth E. Baker; José A. Carrillo 001 (SIAM Rev., 2025)